… system has definite potential for pattern classification tasks. In this paper, the applicability of
PFAM as an autonomously learning system … Two medical domains, ie the databases of CCU …

… application of autonomously learning multiple neural network systems to medical pattem
classification tasks… In our earlier work, a hybrid neural network architecture has been developed …

… control, fault detection, medical diagnosis, credit scoring, … [38] proposed the qubit neural
network through the use of some … All these tasks are unrealisable with a classical perceptron …

… application of autonomous learning for pattern recognition in … to the heart, neural networks
act as pattern recognition models to … efficient health diagnostics, combining pattern recognition …

… on online pattern classification tasks is presented. A multiple … (ART) autonomously learning
neural network as the building … reported the use of ROC and PFAM in medical applications […

… system has definite potential for pattern classification tasks. In this paper, the applicability of
PFAM as an autonomously learning system … Two medical domains, ie the databases of CCU …

… Deep neural networks can automatically extract features … image classification task by using
a convolutional neural network (… CNN is now used to address several tasks including medical …

… is effective in tackling pattern classification tasks. In this paper, … protection strategies in
autonomous power systems,” IEEE … soft computing, pattern recognition, medical prognosis and …

… medical diagnosis can be viewed as a pattern classification … In [1], autonomously learning
ANN models were used to classify … support tool for medical prognostic and diagnostic tasks. …

… application domains, eg in autonomous driving, speech … to investigate the use of AM-FM
based Artificial Neural Networks (AM-… on computer vision and pattern recognition (CVPR), pages …